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Cytokine Networks and Survivin Peptide-Specific Cellular Immune Responses Predict Improved Survival in Patients With Glioblastoma Multiforme

Authors :
Martin Rao
Elke Jäger
Davide Valentini
Markus Maeurer
Nina Hoffmann
Hans-Michael Altmannsberger
Xiaohua Luo
Anna von Landenberg
Qingda Meng
Ernest Dodoo
Inti Peredo
Georges Sinclair
Liu Zhenjiang
Julia Karbach
Source :
EBioMedicine, Vol 33, Iss, Pp 49-56 (2018), EBioMedicine
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

Purpose We investigated serum cytokine and T-cell responses directed against tumour-associated antigens (TAAs) in association with survival of patients with glioblastoma multiforme (GBM). Patients and Methods Peripheral blood from 205 treatment-naïve patients with glioma (GBM = 145; non-GBM = 60) was obtained on the day of surgery to measure (i) circulating T-cells reacting to viral antigens and TAAs, in the presence or absence of cytokine conditioning with IL-2/IL-15/IL-21 or IL-2/IL-7, and (ii) serum cytokine levels (IL-4, IL-5, IL-6, TNF-α, IFN-γ and IL-17A). Patients were followed-up for at least 1000 days post-surgery. Survivin protein and gene expression in resected GBM tumour tissue were confirmed by immunohistochemistry and real-time polymerase chain reaction, respectively. Antigen-specific T-cell responses were gauged by ICS (intracellular cytokine production). Associations between patient survival and immunological reactivity patterns were analysed using univariate and multivariate statistics. Results Approximately 2% of patients with GBM and 18% of patients with non-GBM glioma, were alive beyond 1000 days of surgery. Univariate analysis indicated that the combination of three cytokines (IL-4/IL-5/IL-6, p = .0022; IFN-γ/TNF-α/IL-17A, p = .0083) but not a ‘partial’ combination of these cytokines, the IFN-γ immune response to EBV-EBNA-1 (p<br />Highlights • Cytokine combinations of IL-4/5/6 or IFN-γ/TNF-α/IL-17A may predict survival in patients with GBM. • IL-2/15/21-amplified survivin peptide-specific T-cell responses may independently predict survival among patients with GBM. • Large-scale clinical studies to validate these readouts as biomarkers of survival in GBM are warranted.

Details

ISSN :
23523964
Volume :
33
Database :
OpenAIRE
Journal :
EBioMedicine
Accession number :
edsair.doi.dedup.....bb89a3a51fef3c56fc9f470d2d189e3c